Bringing together marine biodiversity, environmental and maritime boundaries data in R
Salvador Fernandez, Laura Marquez, Lotte Pohl
May 30th 2022
How to access, query and obtain the data
Visualize and get them ready for further exploration and analyses using R
Get and standardize data
Get more occurrence data
Get environmental data
Combine it all together
Introduction (13:30 - 14:00)
Exercise 1 (14:00 - 14:45)
Break (14:45 - 15:00)
Exercise 2 (15:00 - 15:30)
Exercise 3 (15:30 - 15:45)
Coffee Break (15:45 - 16:00)
Exercise 4 (16:30 - 16:15)
Close-off (16:15 - 16:30)
Use your own data!
Coordinate Reference Systems (CRS) provide a standardized way of describing locations.
https://www.nceas.ucsb.edu
%>%) to increase code readability and avoid nestingmean(as.numeric(df$temp)) translates to df$temp %>% as.numeric() %>% mean()
Attention: raster::extract() and sf::st_join both do a spatial join. The former is used for raster data, the second one for vector data!
And now have fun with the workshop!